pandascore_get_matches
List esports matches from PandaScore. Filter by upcoming/running/past and by videogame title. Covers 13 esports titles including LoL, CS2, Dota 2, Valorant, Overwatch, and more.
This record as markdown: /tools/io-github-lacausecrypto-sports-hub/pandascore-get-matches.md
What pandascore_get_matches does on Sports Hub
AI agents call pandascore_get_matches to retrieve information from Sports Hub without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why pandascore_get_matches is rated Low
This tool retrieves and filters esports match data from PandaScore with no side effects. It only queries and returns information about matches based on status filters (upcoming/running/past) and videogame titles. No data is created, modified, deleted, or executed. The blast radius of misuse is minimal—at worst, an agent could retrieve unwanted esports match data repeatedly, causing minor resource waste.
From the tool's definition Tool name 'pandascore_get_matches' with verb 'get' and description 'List esports matches' indicates data retrieval. No modification, deletion, execution, or financial operations are possible.
Attacks that exploit this kind of access
The rule that runs pandascore_get_matches safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Sports Hub, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For pandascore_get_matches, this is the rule to start with:
pandascore_get_matches is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Sports Hub, apply this rule, and every pandascore_get_matches call is checked against it from then on.
Questions about pandascore_get_matches
List esports matches from PandaScore. Filter by upcoming/running/past and by videogame title. Covers 13 esports titles including LoL, CS2, Dota 2, Valorant, Overwatch, and more. It is categorised as a Read tool in the Sports Hub MCP Server, which means it retrieves data without modifying state.
Register the Sports Hub MCP server in PolicyLayer and add a rule for pandascore_get_matches: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Sports Hub. Nothing to install.
pandascore_get_matches is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the pandascore_get_matches rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for pandascore_get_matches. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
pandascore_get_matches is provided by the Sports Hub MCP server (mcp-sports-hub). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on Sports Hub, and thousands of servers like it.
This server
Across the catalogue